WELD BEAD MODELING METHOD, DEVICE AND SYSTEM FOR WIRE-ARC ADDITIVE MANUFACTURE

摘要

The present disclosure discloses a welding bead modeling method for wire-arc additive manufacturing, a device therefor and a system therefor, and belongs to the field of arc wire feeding additive manufacturing. The method uses a dynamic parameter method, and uses different welding process parameters in the same welding bead in the a wire-arc additive manufacturing process to obtain a welding bead with synchronous and dynamic changes in profile along with the dynamic changes of the welding process parameters; uses a line laser sensor for scanning to obtain the segmented profile of the processed welding bead, and corresponds each welding bead profile to the welding process parameters one by one to train the neural network as training data, so as to obtain a welding bead modeling model capable of obtaining the corresponding welding bead profile according to the input welding process parameters. According to the method, multiple sets of experimental data can be obtained through one processing experiment, sufficient training data can be provided under the condition of reducing the number of experiments and experimental cost, and the technical problem that the traditional orthogonal experiment method and the corresponding curved surface method need complex regression equation selection and parameter optimization is solved at the same time.